Overview
Explore how AI transforms software development through coding assistants, DevOps automation, code embeddings, RAG, and ethical considerations while examining the evolving role of developers in this AI-driven landscape.
Syllabus
-
- Introduction to AI in Software Development
-- Overview of AI technologies in software engineering
-- Historical context and evolution
- AI-Powered Coding Assistants
-- Functionality and capabilities of coding assistants
-- Practical applications in software development
-- Benefits and limitations
- DevOps Automation via AI
-- Introduction to AI-driven DevOps tools
-- CI/CD pipeline automation with AI
-- Case studies: Successful AI integrations in DevOps
- Code Embeddings and Feature Extraction
-- Understanding code embeddings
-- Techniques and tools for code embedding
-- Applications and impact on code analysis and search
- Retrieval-Augmented Generation (RAG) in Development
-- Concepts and mechanisms of RAG
-- Integrating RAG with existing development workflows
-- Real-world applications and case studies
- Ethical Considerations in AI-Powered Development
-- Data privacy and security concerns
-- Bias and fairness in AI-driven tools
-- Navigating ethical dilemmas in AI application
- The Evolving Role of Developers
-- Shifts in skill sets and roles
-- Collaboration between humans and AI
-- Preparing for an AI-driven future in software engineering
- Conclusion and Future Trends
-- Emerging technologies and their potential impacts
-- Long-term visions for AI in software development
- Capstone Project
-- Develop a small software project utilizing AI tools
-- Present findings and reflections on AI integration in development practices
Taught by
Tags
On-Demand
